Question 95

Consider a scenario where a network administrator needs to implement redundancy and load balancing for web servers in a data center. They are using Cisco Application Delivery Controller (ADC) devices. Which of the following load balancing algorithms would be most suitable for ensuring that server load is distributed based on the current number of active connections each server is handling, directing new requests to the server with the fewest active connections?

CCNA Question 95 - Answer and Explanation

Correct Answer: C

Detailed Explanation: This question delves into load balancing algorithms, a key topic for network services and data center design, especially when using Application Delivery Controllers (ADCs). The question specifically asks about distributing load based on the current number of active connections, making "Least Connections" the most appropriate algorithm. Understanding Load Balancing Algorithms: Load balancing algorithms are used by ADCs (and load balancers in general) to distribute incoming client requests across a pool of backend servers. The goal is to optimize resource utilization, improve application performance, and ensure high availability and fault tolerance. Different algorithms use various metrics to make load balancing decisions. A. Round Robin: Simple Cyclic Distribution: Round Robin is a very basic algorithm. It distributes requests in a sequential, cyclic manner. The first request goes to server 1, the second to server 2, the third to server 3 (if there are 3 servers), the fourth back to server 1, and so on, in a repeating cycle. Ignores Server Load: Round Robin is "blind" to the actual load or health of the servers. It simply rotates through the server list regardless of whether a server is already overloaded or has failed. Suitable For: Round Robin is simple to implement and can be suitable for environments where servers are expected to have relatively uniform processing capacity and request handling times, and where load variations are minimal and server health monitoring is less critical or handled separately. It is not ideal for dynamic workloads or heterogeneous server capacities. B. Weighted Round Robin: Weighted Cyclic Distribution: Weighted Round Robin is an improvement over basic Round Robin. It allows assigning weights (priorities) to servers. Servers with higher weights receive proportionately more requests in the round robin cycle. Static Weighting: Weights are typically configured statically based on server capacity (e.g., a more powerful server might get a higher weight). Still Ignores Dynamic Load: While weights allow for capacity differences, Weighted Round Robin still doesn't dynamically adjust to current server load. It's still a cyclic distribution based on pre-set weights, not real-time server connection counts or CPU usage. Suitable For: Situations where servers have known, fixed capacity differences. It provides some level of capacity-based distribution but is not truly dynamic load-aware. C. Least Connections: Dynamic Load-Aware Distribution: Least Connections is a dynamic load balancing algorithm. It directs new requests to the server that currently has the fewest active connections. The ADC actively monitors the number of connections on each backend server in real-time. Real-Time Load Balancing: This algorithm dynamically adapts to server load variations. If one server becomes overloaded with connections, new requests are automatically directed to servers with fewer connections. Optimizes Resource Utilization: Least Connections aims to distribute load more evenly based on actual server utilization (connection counts are a proxy for load), potentially improving response times and overall performance, especially when request processing times vary or server capacities are not perfectly uniform. Suitable For: Environments where server load is dynamic, request processing times vary, or servers have different capacities. It's a good general-purpose algorithm for web servers, application servers, and environments where maintaining even server load is important. D. Source IP Hash: Persistence Based on Source IP: Source IP Hash is a persistence (or session affinity) based algorithm. It uses a hash function on the client's source IP address to consistently map requests from the same client IP to the same backend server. Session Stickiness: This algorithm is used to ensure that all requests from a particular client IP address are always sent to the same server for session persistence (e.g., maintaining shopping carts, user logins). Not Load Balancing Based on Server Load: Source IP Hash is not primarily designed for load balancing based on server load. It's for session persistence. While it might distribute traffic somewhat across servers based on the distribution of client IPs, it doesn't actively monitor server load or try to balance connections based on server utilization. In fact, if many clients come from the same IP range (e.g., behind a NAT gateway), Source IP Hash can lead to uneven load distribution. Suitable For: Applications requiring session persistence or "stickiness" where all requests from the same client must go to the same backend server (e.g., some e-commerce applications, stateful applications). Not ideal for general load balancing based on server load distribution. Why Option C is Correct: "Current Number of Active Connections" Key: The question explicitly mentions distributing load based on the "current number of active connections." "Least Connections" algorithm directly addresses this requirement by dynamically monitoring and utilizing connection counts for load distribution decisions. Why Other Options are Incorrect: A. Round Robin and B. Weighted Round Robin: Both Round Robin algorithms are cyclic and distribute requests based on a fixed cycle or static weights, not on dynamic server load or current connection counts. They do not meet the requirement of load distribution based on current active connections. D. Source IP Hash: Source IP Hash is for session persistence, not dynamic load balancing based on server load. It's not designed to distribute load based on server connection counts. In Conclusion: For load balancing web servers and ensuring distribution based on the current number of active connections, "Least Connections" is the most suitable algorithm among the options. It's a dynamic, load-aware algorithm that actively monitors server load (connection counts) and directs traffic to the least loaded servers, optimizing resource utilization and potentially improving application performance. Understanding different load balancing algorithms and their characteristics is crucial for designing scalable and highly available network services, and this question tests that specific knowledge within the context of ADCs.

This CCNA practice question helps students prepare for Cisco networking certification exams by testing knowledge of network fundamentals, routing, switching, and network security concepts.

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